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In a normal search problem, the optimal solution would be a sequence of actions leading to a goal state-a terminal state that is a win. In adversarial search, MIN has…

Game Playing is an important domain of artificial intelligence. Games don’t require much knowledge; the only knowledge we need to provide is the rules, legal moves and the conditions of…

Prerequisites : ·         Recursion ·         Complexity Analysis Backtracking is an algorithmic-technique for solving problems recursively by trying to build a solution incrementally, one piece at a time, removing those solutions that fail to…

The domain expressions define a directed graph on the variables. In the current version of the system, the constraint graph must be a acyclic, which means that information flows in…

The informed and uninformed search expands the nodes systematically in two ways: keeping different paths in the memory and selecting the best suitable path, Which leads to a solution state…

Depth-first search (DFS) is an algorithm for traversing or searching tree or graph data structures. The algorithm starts at the root node (selecting some arbitrary node as the root node…

There are far too many powerful search algorithms out there to fit in a single article. Instead, this article will discuss six of the fundamental search algorithms, divided into two categories, as shown below.…

Artificial Intelligence is the study of building agents that act rationally. Most of the time, these agents perform some kind of search algorithm in the background in order to achieve their…

An intelligent agent is a program that can make decisions or perform a service based on its environment, user input and experiences. These programs can be used to autonomously gather…

A machine with the ability to perform cognitive functions such as perceiving, learning, reasoning and solve problems are deemed to hold an artificial intelligence. Artificial intelligence exists when a machine…